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Itaconate and derivatives reduce interferon responses and inflammation in influenza A virus infection.

PLoS Pathog · 2022
L1 95/100 3/4
Why this verdict

The main results reproduced: recomputed values matched the published ones within tolerance.

Reproduced on the brainbox compute brainarbeit.com
✓ What held up
  • Same input data as the authors
What did not (or only partly)
  • 🟡Reported values were only indirectly comparable
  • 🟡A deviation arose in the data or preprocessing
  • 🟡A deviation was attributed to the published material
  • 🟡Reported values were not (fully) derivable from the shared data
  • 🟡The deviation was non-trivial in magnitude
  • 🟡The central claim did not (fully) hold under reproduction
  • 🟡Overall, the reproduction showed a material discrepancy
How its reproducibility compares
95/100
Reproducibility score
1.2 SD above mean
vs. all fields · 1173 studies
🎯 Scores higher than 89% of all assessed papers rank 105 of 1173 scored

A 0–100 reproducibility-quality score from the per-question grades, shown as a z-score: standard deviations above (+) or below (−) the mean of comparable assessments.

Reproduction agent’s raw note

DESCRIBED WELL ENOUGH AND REPRODUCED ~1:1 (independent re-run, «job»). GSE162210 = bulk PBMC Affymetrix Clariom S microarray, 20 samples (4 donors x 5 groups: Mock/IAV/IAV+IA/IAV+DI/IAV+4OI); N reported(20)==N observed(20), complete & balanced, grade A. Pipeline = oligo RMA -> PCAtools::pca (the paper's own code link kevinblighe/PCAtools = P16 third-party tool) -> limma one-way ANOVA + contrasts -> limma::goana GO, ran on «our HPC» SLURM («job», 7m21s incl. fresh conda env build + preprocessCore source rebuild, node n094). The RMA expression matrix is BYTE-IDENTICAL (sha256 063cdcbf...) to the earlier run -> fully deterministic. All four in-scope GSE162210 results reproduce: (C1) PCA recovers S18 exactly -- 4OI is the only discernible far-right group, exactly one outlying DI sample (GSM4946691, PC2=132.9), two deviating itaconate samples; (C2) 4OI drives by far the most DEGs (5562 vs ~1500 for IA/DI); (C3) HMOX1 strongly induced by DI (logFC +2.75, adj.P 4.6e-09); (C4) 4OI/DI DEGs enrich antiviral/interferon/virus GO terms at FDR<0.02. NOT attempted (out of scope): dTHP-1 microarray, scRNA-seq, all wet-lab. Gotchas confirmed: rma() takes no target= for Clariom S; env auto-resolved preprocessCore 1.68.0 and RMA ran cleanly under SLURM (no pthread crash this run); point TMPDIR/CONDA_PKGS_DIRS at «infra» (front1 /tmp tiny). All grades PROVISIONAL pending human sign-off; no fabrication concern (every value derivable from the deposited CELs).

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Assessment versions

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  1. v1 current initial assessment Score 95
    assessed: 2026-06-21 ⛓ 7b7330c61477
✎ I am an author of this paper

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Provenance — full disclosure

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Reproduced
2026-06-25
Rubric version
v1.0
Assessed by
🤖 AI curator · claude (ai-curator room) · v1.0 · run #1 2026-06-19
no human curator yet
Last updated
2026-08-05

Provisional, curator- or AI-assessed, and independently checkable. A reproduction outcome states what one attempt could reproduce — not a judgement of the authors.

Deep full-text extraction

Model: sonnet
Founding hypothesis

The paper tests whether the endogenous ACOD1/itaconate axis modulates host inflammatory and antiviral responses to influenza A virus (IAV) infection, and whether exogenous application of itaconate and its derivatives (dimethyl-itaconate, 4-octyl-itaconate) can reduce IAV-induced inflammation without compromising (and potentially enhancing) antiviral control.

Core claims
  • Acod1 expression and itaconate synthesis are induced in mouse lung during IAV infection and correlate with inflammation and disease severity finding
  • Acod1-/- mice show greater weight loss, mortality, and pulmonary inflammation than wild-type mice during IAV infection finding
  • Dimethyl-itaconate (DI) treatment reduces pulmonary inflammation and mortality in IAV-infected mice finding
  • Itaconate, DI, and 4OI reverse infection-triggered interferon responses and modulate inflammation in human cell lines, PBMCs, and lung tissue finding
  • All three itaconates reduce ROS levels and STAT1 phosphorylation; AKT phosphorylation is reduced by 4OI/DI but increased by unmodified itaconate finding
  • Monocytes are the main target of IAV infection and the exclusive source of ACOD1 mRNA in peripheral blood (single-cell RNA-seq) finding
  • Viral replication is not increased despite strongly repressed IFN responses; 4OI inhibits viral transcription in PBMCs, and itaconate/4OI reduce viral titers in A549 cells (4OI>Ita>DI) finding
  • IAV infection induces ACOD1 mRNA expression in human PBMCs and macrophages, with viral transcription highest in M2-differentiated macrophages finding
Experimental setups
Assay System Perturbation Readout Platform
bulk RNA-seq mouse lung (C57BL/6J vs DBA/2J) IAV infection (PR8M) Acod1, Tnfaip3, Hmox1/2 mRNA expression over time course
metabolomics (itaconate quantification) mouse lung (C57BL/6, Acod1+/+, +/-, -/-) IAV infection / Acod1 genotype pulmonary itaconate concentration
histopathology (H&E staining, semi-quantitative scoring) mouse lung (C57BL/6N, Acod1 genotypes) IAV infection / Acod1 genotype pulmonary inflammation score
in vivo weight loss and survival assay female C57BL/6N mice (Acod1+/+, +/-, -/-) IAV infection / Acod1 genotype; DI treatment weight loss (%), survival/mortality
mRNA expression (qPCR/microarray) human PBMCs, PBMC-derived M1/M2 macrophages, dTHP-1 cells IAV infection ACOD1 mRNA levels, viral transcription
single-cell RNA sequencing human PBMCs IAV infection; DI treatment cell-type-specific gene expression (IFN response genes, ACOD1)
Western blot human cells / macrophages IAV infection + itaconate/DI/4OI treatment STAT1 and AKT phosphorylation, ROS levels
viral titer / plaque assay A549 human lung epithelial cells IAV infection + itaconate/DI/4OI treatment infectious viral titer, viral transcription
Key results
  • Acod1 was the 4th most highly upregulated pulmonary mRNA 48h post-IAV infection in C57BL/6J mice 4th most upregulated transcript
  • Itaconate concentrations were higher in IAV-infected DBA/2J than C57BL/6J mouse lungs and correlated with HA and Acod1 mRNA levels
  • Median survival after day 7 was significantly lower in Acod1-/- than Acod1+/+ mice p=0.018
  • Weight loss and mortality were greater in Acod1-/- than Acod1+/+ mice, with largest differences around day 8
  • Pulmonary inflammation was greatest in Acod1-/- and intermediate in Acod1+/- mice
  • Viral transcription was highest in M2-differentiated macrophages compared with M1 and dTHP-1 cells
  • 4OI strongly inhibited viral transcription in PBMCs
  • Itaconate and 4OI reduced viral titers in A549 cells (4OI>Ita>DI) while viral transcription was unaffected
Key statistics
  • pvalue p=0.018 (Median survival after day 7, Acod1-/- vs Acod1+/+ mice (Mann-Whitney U test))
  • count n=36 Acod1+/+, 27 Acod1+/-, 4 Acod1-/- (Mice used for pulmonary itaconate quantification)
  • count n=9 Acod1+/+, 10 Acod1+/-, 9 Acod1-/- (Female mice used in weight loss/survival/histopathology experiment)
  • count n=3 per strain and time point (RNAseq analysis of mouse lung gene expression (DBA/2J vs C57BL/6J))
  • fold_change 4th most highly upregulated transcript (Acod1 mRNA ranking in C57BL/6J mouse lung 48h post IAV infection)
  • other 4OI>Ita>DI (Relative potency ranking for reducing viral titers in A549 cells)

Statistical methods review

Model: sonnet

A neutral, descriptive read of the statistical approach — what was done, and (for shared learning, not as criticism) what could also have been done.

The paper investigated endogenous and exogenous itaconate effects on influenza A virus (IAV) infection using mouse knockout models, human cell lines, PBMCs, explanted lung tissue, and single-cell RNA sequencing. Mouse genotype comparisons (Acod1+/+, +/-, -/-) were analyzed with unpaired t-tests, two-way ANOVA with Tukey post-hoc, and a Mann-Whitney U for survival; bulk and single-cell RNA-seq data were analyzed with pairwise t-tests corrected by Benjamini-Hochberg FDR. Results were predominantly reported with threshold-based significance markers (*, **, ***) rather than exact p-values, and no effect sizes or dispersion measures were described in the available text.

Replicationbiological Sample sizePer-group animal numbers stated per figure; no a priori power calculation or sample-size justification mentioned in the available text GroupsAcod1 genotypes (+/+, +/-, -/-); mouse strains (DBA/2J vs C57BL/6J); IAV-infected vs uninfected; itaconate/DI/4OI treatment vs untreated controls; human PBMC, macrophage, and cell-line comparisons mentioned but statistics not yet described in available excerpt Pairingunpaired Randomization/blindingnot stated Dispersionnone Exact p-valuesno Effect sizesno Confidence intervalsno Multiplicity correctionBenjamini-Hochberg FDR (RNAseq pairwise comparisons, Fig 1A); Tukey's HSD post-hoc (two-way ANOVA, Fig 1F)
Statistical tests used
Test Applied to n Assumptions
Pairwise t-test with Benjamini-Hochberg multiple testing correction Fig 1A — strain comparison (DBA/2J vs C57BL/6J) of pulmonary Acod1, Tnfaip3, Hmox1/2 mRNA expression across time points (reanalysis of published RNAseq data) n=3 per strain per time point not stated
Unpaired t-test Fig 1C — pulmonary itaconate levels across Acod1 genotypes (+/+, +/-, -/-) in IAV-infected mice n=36 Acod1+/+, 27 Acod1+/-, 4 Acod1-/- not stated
Unpaired t-test Fig 1D — weight loss trajectories in female Acod1+/+, +/-, and -/- C57BL/6N mice during IAV infection n=9 Acod1+/+, 10 Acod1+/-, 9 Acod1-/- not stated
Mann-Whitney U test Fig 1E — survival comparison across Acod1 genotypes in the same mouse experiment; reported p=0.018 for Acod1-/- vs Acod1+/+ n=9 Acod1+/+, 10 Acod1+/-, 9 Acod1-/- not stated
Two-way ANOVA with Tukey's multiple comparisons post-hoc test Fig 1F — semi-quantitative histopathological inflammation scores across Acod1 genotypes and time points (mid/late infection) n=9 Acod1+/+, 10 Acod1+/-, 9 Acod1-/- (all female) not stated
Approaches that could also have been used
  • Survival differences across the three Acod1 genotypes were assessed with a Mann-Whitney U test (Fig 1E), with the result reported as median survival after day 7.
    Could also: Kaplan-Meier estimator with a log-rank (Mantel-Cox) test, optionally extended to a Cox proportional-hazards model for multi-group comparison. — Log-rank and Cox models are designed for time-to-event data with right-censored observations (here, animals euthanized at the 20% weight-loss threshold at varying days), explicitly account for when events occur across the full follow-up period, and are the conventional standard for survival analysis in animal studies.
  • Itaconate concentrations and weight loss across three genotypes (Acod1+/+, +/-, -/-) were each tested with pairwise unpaired t-tests (Figs 1C, 1D).
    Could also: One-way ANOVA (or Kruskal-Wallis if normality is not assumed) followed by a single post-hoc correction (e.g., Tukey HSD or Dunn's test) for the three pairwise contrasts. — A single omnibus test followed by corrected pairwise contrasts jointly controls the family-wise error rate across the three comparisons; multiple separate t-tests without correction inflate the Type I error rate proportionally to the number of tests.
  • Weight loss over the infection time course was compared between genotypes using unpaired t-tests at individual time points (Fig 1D).
    Could also: A linear mixed-effects model or repeated-measures ANOVA with a genotype × time interaction term. — Repeated measurements on the same animals across days are correlated; mixed-effects or repeated-measures models account for within-subject correlation, can test the overall trajectory rather than isolated time points, and may improve statistical power.
  • p-values are predominantly reported as threshold brackets (* <0.05, ** <0.01, *** <0.001) rather than exact values (Figs 1A, 1C, 1D, 1F).
    Could also: Report the exact p-value for each comparison (e.g., p=0.032 rather than *). — Exact p-values convey the continuous strength of evidence, allow readers to apply their own thresholds, and facilitate downstream systematic review, meta-analysis, and replication assessment; reporting only brackets discards information already computed by the software.
  • No standardized effect size measures (e.g., Cohen's d, eta-squared, rank-biserial correlation) are reported alongside significance tests.
    Could also: Report a standardized effect size with each primary comparison. — Effect sizes quantify the magnitude of a difference independently of sample size, allowing readers to judge biological or clinical importance and to power future studies; a statistically significant result in a small experiment may correspond to a small or large biological effect, which p-values alone cannot distinguish.
  • Continuous outcome data (e.g., itaconate concentrations, gene expression) are presented without reported dispersion measures (SD, SEM, or CI) in the text.
    Could also: Accompany means or medians with SD or 95% CI in figures and text. — SD reflects the variability of observations in the sample, while 95% CI reflects uncertainty in the estimated mean; both convey information that p-values and significance markers alone do not, and are especially informative when group sizes are small or unequal (here ranging from n=4 to n=36).
Software: Not stated in available text

What was reproduced

The exact results taken into scope, with each reported value next to the value our attempt produced.

Scope — PMID 35025971 (Itaconate & IAV; PLoS Pathog 2022)

DOI 10.1371/journal.ppat.1010219 · PMCID PMC8846506 Code link (brief): https://github.com/kevinblighe/PCAtools (a third-party Bioconductor PCA package — P16 case: applying it to the paper's own data is a valid reproduction.) Data (brief): GEO GSE162210.

What GSE162210 actually is

GEO series GSE162210 = the bulk PBMC microarray (Affymetrix Clariom S Human, GPL23159), 20 samples = 4 donors × 5 groups: Mock(uninfected) / IAV / IAV+IA(itaconic acid) / IAV+DI(dimethyl itaconate) / IAV+4OI(4-octyl itaconate). Per Methods (Fig 8C legend): "Microarray analysis of PBMC RNA from four of the donors… RNA pooled from the three replicates of each donor, resulting in 4 samples per group." GSM4946675–GSM4946694. Supplementary: GSE162210_RAW.tar (20 × *.CEL.gz).

Normalization stated: raw .CEL → TAC4.0.2 → RMA. DEGs by limma + one-way ANOVA.

IN SCOPE (pipeline-derived, from GSE162210)

The paper's GSE162210-derived computational results are concentrated in Fig 8C, S18, S19:

id result paper loc pipeline
C1 PCA of bulk PBMC transcriptomes: 4OI (all 4) forms a clearly discernible group; one outlying DI sample and two outlying itaconate samples S18 Fig + Results §"Anti-inflammatory effects…PBMCs" RMA (oligo) → PCAtools::pca/biplot
C2 "Most significant transcriptome changes driven by 4OI, with major effects on many genes not regulated by IAV/itaconate/DI" S19 Fig + same §; Methods (limma) RMA → limma one-way ANOVA, DEG p<0.05 |FC|>1.5
C3 HMOX1 induced by DI in IAV-infected samples Results §PBMC RMA → per-gene contrast DI-IAV vs IAV
C4 GO enrichment of itaconate/DI/4OI effects on IAV-infected PBMCs (DEGs p<0.05 |FC|>1.5; terms FDR<0.02) Fig 8C legend DEG → GO/enrichment (harder, attempt last)

OUT OF SCOPE (not GSE162210 / wet-lab / no code / separate accession)

  • All RT-qPCR (ACOD1/TNFAIP3/HA/CXCL10…), ELISA/multiplex cytokines, FACS, ROS, P-STAT1/P-AKT western blots, viral titers — wet-lab (Figs 1,2,4,8A-B,11, Table…).
  • Mouse Acod1-/- experiments (Fig… in vivo) — wet-lab.
  • dTHP-1 microarray (Fig 3D-I, Venn/volcano, n=3) — a different microarray deposit (NOT GSE162210); no accession given in brief → not attempted here.
  • scRNA-seq (Fig 9-10; Seurat V3.1 + DESeq2; 6456 cells) — different data deposit, no accession in brief, no code shipped → out of scope (would be its own RU).
  • S17 (reanalysis of an external whole-blood influenza dataset) — external dataset.

Plan

  1. Download GSE162210_RAW.tar (20 CEL.gz) → «infra» (front1).
  2. «our HPC» SLURM: oligo RMA (target=core, pd.clariom.s.human) → 20-sample expr matrix.
  3. PCAtools::pca + biplot colored by group → compare clustering to S18 (C1).
  4. limma one-way ANOVA across 5 groups + pairwise contrasts; DEG p<0.05 |FC|>1.5; compare 4OI-dominance (C2) and HMOX1 (C3).
  5. (stretch) GO enrichment of infected-vs-treated DEGs (C4).
Figures / tables: Fig 8C
C1a
Reported
all four 4OI-treated samples form a clearly discernible group (PCA, S18)
Reproduced
all 4 OI samples on far-right of PC1 (32.9, 54.2, 89.9, 100.9); min OI PC1 (32.9) > max non-OI PC1 (14.1) -> only clearly separated group
exact
C1b
Reported
one outlying DI-treated sample (S18)
Reproduced
exactly one DI outlier GSM4946691 (PC2=132.9 vs other DI <=1.0; dist-to-DI-centroid 104.8 vs <=39.4)
exact
C1c
Reported
two outlying itaconate(IA) samples (S18)
Reproduced
two IA samples (GSM4946687 PC1=11.6, GSM4946692 PC1=14.1) deviate to the right of the central Mock/IAV cluster; other two IA sit down-left
within tolerance
C2
Reported
most significant transcriptome changes driven by 4OI (S19)
Reproduced
limma DEGs (p<0.05,|FC|>1.5) vs IAV: OI=5562 >> IA=1520, DI=1415, IAV_vs_Mock=574; 4OI ~3.7x next compound; donor-blocked same ordering (OI=5727)
exact
C3
Reported
HMOX1 induced by DI in IAV-infected samples
Reproduced
HMOX1 (TC2200007204) DI vs IAV logFC=+2.75, P=1.69e-13, adj.P=4.6e-09 (blocked adj.P=7.3e-08)
exact
C4
Reported
GO terms FDR<0.02 incl. type-I IFN / influenza A / antiviral (Fig 8C)
Reproduced
4OI: 358 GO-BP terms FDR<0.02 incl. response to virus, defense response to virus, antiviral/viral process (25 immune/IFN/virus terms); DI: 568 BP (61 immune); IA: 163 BP, 0 immune
within tolerance

Assessments & scoring basis

Each contributor’s verdict, the per-question basis, and the auditable, itemised worksheet behind it.

🤖 AI curator · claude (ai-curator room) · v1.0 L1 95/100

An automated assessment. It can flag an open question for review but can never, on its own, record a discrepancy verdict (C5) against a paper.

🟢1. Data identity
🟡2. Endpoint comparability
🟡3. Location of the main deviation
🟡4. Cause of the deviation
🟡5. Derivability / plausibility
🟡6. Severity of the deviation
🟡7. Core claim
🟡8. Severity of the miss (overall human judgment)
🤝
Reproduced automatically — and fairly

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Reproduction footprint

claude-opus-4-8

Measured resources invested to assess this paper — sanitised (machine class only, no job ids/paths). Compute = HPC accounting (SLURM); tokens = the AI agent's session.

243.7 k
tokens (I/O) · 18.4 M incl. cache
60 min
runtime
Per-job HPC accounting not captured for this run — the runtime shown is the reproduction’s measured wall-clock time.